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2017第十届机器视觉国际会议（2017 The 10th International Conference on Machine Vision）
2017 第十届 机器视觉 国际会议
2017/5/23
Welcome to the official website for 2017 The 10th International Conference on Machine Vision (ICMV 2017). ICMV conference is initiated by School of Electronics, Si Chuan University, China, assisted by...
2017年第二届机器人与机器视觉国际会议（2017 2nd International Conference on Robotics and Machine Vision）
2017年 第二届 机器人 机器视觉 国际会议
2017/5/23
We are excited to announce 2017 2nd International Conference on Robotics and Machine Vision (ICRMV 2017) will be held on September 15-18, 2017 in Kitakyushu, Japan.
SIMULATION OF THE «COSMONAUT-ROBOT» SYSTEM INTERACTION ON THE LUNAR SURFACE BASED ON METHODS OF MACHINE VISION AND COMPUTER GRAPHICS
Lunar Exploration Extravehicular Activity (EVA) Human-Robot Interaction (HRI) Mobile Robot Control "Follow Me" Mode Gesture Interface Object Tracking Gesture Recognition Motion Capture
2017/6/19
Extravehicular activity (EVA) on the lunar surface, necessary for the future exploration of the Moon, involves extensive use of robots. One of the factors of safe EVA is a proper interaction between c...
2017 SPIE 自动视觉检查和机器视觉会议（2017 Conference on Automated Visual Inspection and Machine Vision）
2017 SPIE 自动视觉检查 机器视觉 会议
2017/4/25
Conference Sessions:1: Image Acquisition 2: Simulation 3: Multispectral inspection Posters--Thursday 4: Inspection, Monitoring and Detection .
2017第十五届IAPR机器视觉应用国际会议（2017 Fifteenth IAPR International Conference on Machine Vision Applications）(MVA)
2017第十五届IAPR机器视觉应用国际会议
2017/3/21
The Fifteenth IAPR International Conference on Machine Vision Applications will be held at Toyoda Auditorium, Nagoya University, Nagoya, Japan from May 8th through 12th, 2017. The conference is co-spo...
Authors are invited to submit full-length high-quality papers in image processing and machine vision. Papers covering theory and/or application areas of computer vision are invited for submission. Sub...
基于机器视觉的非结构环境下黄瓜目标特征识别（Feature Acquisition of Cucumber Fruit in Unstructured Environment Using Machine Vision）
温室 黄瓜 信息处理
2009/9/11
提出了一种基于近红外光谱成像技术的温室黄瓜信息检测方法。根据黄瓜的光谱反射特性，选用特定波长的近红外光谱图像解决与背景颜色相近的果实信息表征；利用图像内作物灰度分布差异确定果实所在区域，区域内采用矩不变优化阈值分割和特殊形态学模板滤波，实现果实目标有效识别；结合黄瓜物理性状和纹理特征检测果实的可抓取部位，并引入形心主惯性轴思想确定果柄的切割点位置。实验结果表明果实的正确识别率为93.3%，抓取点、...